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An Introductory Python course for Computational Lingustics.

	Title	Colab	Binder
1.1	About the Course
1.2	Introduction to Python
1.3	Basic NLP with Python
1.4	Working with Corpus Data

	Title	Colab	Binder
2.1	Naive Bayes
2.2	Sentiment Analysis
2.3	POS Tagging

Note: this applies ONLY if you plan to run the course locally on your own machine. For now, we recommend accessing the course materials with Colab or Binder (see above).

For this project we will use Python 3.6+.The project structure is:

.├── CONTRIBUTING.md├── corpora├── LICENSE├── module_1│   ├── module_1.1│   ├── ...│   └── module_1.4├── ...├── module_4├── README.md├── requirements.txt├── resources└── Templates

You should look into the foldersmodule_x. Each module is divided in many submodules, and eachmodule_x.y folder contains the the Jupyter notebooks you will run during the course. The foldercorpora contains the corpora you will use for this course.

The other resources contained in the present repository are:

• README.md is the present file;
• requirements.txt contains all the Python libraries required to run the code. You will use this file when installing Python libraries on your machine;
• The fileCONTRIBUTING.md and the foldersTemplates andresources contain the guidelines and the resources we used to write this course.
• LICENSE contains a copy of the CC BY-NC 4.0 License.

The content in this repository is released under theCC BY-NC 4.0 license.

The icons used are made by Freepik fromwww.flaticon.com and are licensed with a CC 3.0 BY permissive license.